Jiyan Qi

1.1k total citations
24 papers, 481 citations indexed

About

Jiyan Qi is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Jiyan Qi has authored 24 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Plant Science and 4 papers in Biochemistry. Recurrent topics in Jiyan Qi's work include Plant biochemistry and biosynthesis (15 papers), Plant Gene Expression Analysis (9 papers) and Plant nutrient uptake and metabolism (4 papers). Jiyan Qi is often cited by papers focused on Plant biochemistry and biosynthesis (15 papers), Plant Gene Expression Analysis (9 papers) and Plant nutrient uptake and metabolism (4 papers). Jiyan Qi collaborates with scholars based in China, France and United States. Jiyan Qi's co-authors include Chaorong Tang, Yongjun Fang, Xiaohu Xiao, Heping Li, Cunliang Zhang, Yuekun Wang, Binhui Zhou, Meng Yang, Jianghua Yang and Yunxia Qin and has published in prestigious journals such as PLoS ONE, New Phytologist and Gene.

In The Last Decade

Jiyan Qi

21 papers receiving 468 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jiyan Qi China 11 312 307 32 29 22 24 481
Rehna Augustine India 14 466 1.5× 397 1.3× 20 0.6× 12 0.4× 30 1.4× 29 620
Abdelghani Nabloussi Morocco 12 116 0.4× 338 1.1× 22 0.7× 20 0.7× 33 1.5× 53 406
Panida Kongsawadworakul Thailand 13 380 1.2× 370 1.2× 8 0.3× 33 1.1× 29 1.3× 30 548
Xin Yin China 13 230 0.7× 229 0.7× 19 0.6× 50 1.7× 18 0.8× 38 445
Quaid Hussain China 13 228 0.7× 453 1.5× 17 0.5× 25 0.9× 6 0.3× 45 590
Tadashi Kunieda Japan 14 525 1.7× 654 2.1× 23 0.7× 31 1.1× 7 0.3× 23 848
Yiming Guo China 10 302 1.0× 435 1.4× 31 1.0× 26 0.9× 11 0.5× 22 630
Raquel Figueiredo Brazil 11 199 0.6× 259 0.8× 22 0.7× 40 1.4× 5 0.2× 19 439

Countries citing papers authored by Jiyan Qi

Since Specialization
Citations

This map shows the geographic impact of Jiyan Qi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jiyan Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiyan Qi more than expected).

Fields of papers citing papers by Jiyan Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiyan Qi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jiyan Qi. The network helps show where Jiyan Qi may publish in the future.

Co-authorship network of co-authors of Jiyan Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Jiyan Qi. A scholar is included among the top collaborators of Jiyan Qi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiyan Qi. Jiyan Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Yongmei, Zhonghua Li, Xue Yang, et al.. (2025). The MYB-related transcription factor family in rubber dandelion (Taraxacum kok-saghyz): An insight into a latex-predominant member, TkMYBR090. International Journal of Biological Macromolecules. 305(Pt 2). 141058–141058.
2.
Li, Yongmei, Xing Liu, Junyi Li, et al.. (2025). Rubber biosynthesis drives the biogenesis and development of rubber particles, the rubber‐producing organelles. Plant Biotechnology Journal. 23(6). 2303–2316.
3.
Zhang, Yuanyuan, Xiaodong Liu, Xia Zeng, et al.. (2024). Resequencing-based QTL mapping of girth and rubber yield traits in a full-sib rubber tree population GT1 × CATAS8-79. Industrial Crops and Products. 222. 119867–119867.
4.
Zhang, Yuanyuan, Xing Liu, Cheng Zheng, et al.. (2024). Genome-wide association study identifies QTL for girth and dry rubber yield in a progeny population of Whickham Hevea germplasms. Industrial Crops and Products. 216. 118749–118749. 1 indexed citations
5.
6.
Fan, Yujie, Jiyan Qi, Xiaohu Xiao, et al.. (2022). Transcript and Protein Profiling Provides Insights Into the Molecular Mechanisms of Harvesting-Induced Latex Production in Rubber Tree. Frontiers in Genetics. 13. 756270–756270. 3 indexed citations
7.
Yang, Xue, et al.. (2022). Genome-wide analysis of the SWEET genes in Taraxacum kok-saghyz Rodin: An insight into two latex-abundant isoforms. Plant Physiology and Biochemistry. 194. 440–448. 9 indexed citations
8.
Zhou, Binhui, Yongjun Fang, Xiaohu Xiao, et al.. (2022). Trehalose 6-Phosphate/SnRK1 Signaling Participates in Harvesting-Stimulated Rubber Production in the Hevea Tree. Plants. 11(21). 2879–2879. 2 indexed citations
9.
Xin, Lusheng, Julien Pirrello, Yongjun Fang, et al.. (2020). Ethylene response factors regulate expression of HbSUT3, the sucrose influx carrier in laticifers of Hevea brasiliensis. Tree Physiology. 41(7). 1278–1288. 7 indexed citations
10.
Cheng, Bin, et al.. (2020). Sequence optimization of machining elements for process model based on the genetic algorithm of matrix constrained. Journal of Physics Conference Series. 1678(1). 12072–12072. 1 indexed citations
11.
Qi, Jiyan, et al.. (2018). Characterization of Sugar Contents and Sucrose Metabolizing Enzymes in Developing Leaves of Hevea brasiliensis. Frontiers in Plant Science. 9. 58–58. 46 indexed citations
12.
Qi, Jiyan, et al.. (2017). The SWEET gene family in Hevea brasiliensis – its evolution and expression compared with four other plant species. FEBS Open Bio. 7(12). 1943–1959. 24 indexed citations
13.
Long, Xiangyu, Bin He, Xinsheng Gao, et al.. (2015). Validation of reference genes for quantitative real-time PCR during latex regeneration in rubber tree. Gene. 563(2). 190–195. 26 indexed citations
14.
Zhou, Binhui, Yunxia Qin, Yihua Zhou, et al.. (2015). HbNIN2, a cytosolic alkaline/neutral‐invertase, is responsible for sucrose catabolism in rubber‐producing laticifers of Hevea brasiliensis (para rubber tree). New Phytologist. 206(2). 709–725. 52 indexed citations
15.
Long, Xiangyu, Bin He, Chuang Wang, et al.. (2014). Molecular identification and characterization of the pyruvate decarboxylase gene family associated with latex regeneration and stress response in rubber tree. Plant Physiology and Biochemistry. 87. 35–44. 20 indexed citations
16.
Tang, Chaorong, Xiaohu Xiao, Heping Li, et al.. (2013). Comparative Analysis of Latex Transcriptome Reveals Putative Molecular Mechanisms Underlying Super Productivity of Hevea brasiliensis. PLoS ONE. 8(9). e75307–e75307. 36 indexed citations
17.
Qin, Yunxia, et al.. (2013). Molecular characterization and expression analysis of the small GTPase ROP members expressed in laticifers of the rubber tree (Hevea brasiliensis). Plant Physiology and Biochemistry. 74. 193–204. 6 indexed citations
18.
Qi, Jiyan. (2012). Physiological Characters of Latex from Hevea brasiliensis under Three Tapping Systems. Redai zuowu xuebao. 1 indexed citations
19.
Tang, Chaorong, Jiyan Qi, Heping Li, Cunliang Zhang, & Yuekun Wang. (2007). A convenient and efficient protocol for isolating high-quality RNA from latex of Hevea brasiliensis (para rubber tree). Journal of Biochemical and Biophysical Methods. 70(5). 749–754. 98 indexed citations
20.
Tang, Chaorong, et al.. (2004). Transgenic ice nucleation-active Enterobacter cloacae reduces cold hardiness of corn borer and cotton bollworm larvae. FEMS Microbiology Ecology. 51(1). 79–86. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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